Evidence map›Paper›PMID 40345688›Full record

ArticleBMJ open2025

Sex differences in associations between body composition and cardiometabolic indicators in Chinese children: a cross-sectional study.

Lijun Wu, Yiying Huang, Yiren Chen, Zijun Liao, Shaoli Li, Junting Liu, Xin Nan Zong, Fangfang Chen

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Lijun WuDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.ORCID http://orcid.org/0000-0001-5876-8379
Yiying HuangDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Yiren ChenDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Zijun LiaoDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Shaoli LiDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Junting LiuDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Xin Nan ZongDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Fangfang ChenDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China airechen@126.com.ORCID http://orcid.org/0000-0002-1715-540X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesObesity is a growing global public health problem that increases the risk of cardiovascular disease. The aim of the present study was to assess the effects of body composition on cardiometabolic indicators in children.

designCross-sectional analysis.

settingChina, the Beijing Children and Adolescents Health Cohort Study between 2022 and 2023.

participantsThis cross-sectional study included 5555 children and adolescents aged 6 to 17 years from 11 kindergartens and schools. OUTCOME MEASURES: We measured body composition using multifrequency bioelectrical impedance analysis and assessed the cardiometabolic indicators, including blood pressure, plasma glucose and lipids. Linear regression and binary logistic regression were performed to assess the associations between body composition and cardiometabolic abnormalities.

resultsIn boys, fat mass index (FMI) was positively correlated with total cholesterol (TC) (in normal fat-free mass (FFM) group, β=0.036, 95% CI 0.027 to 0.046; in high FFM group, β=0.034, 95% CI 0.016 to 0.051) and fasting plasma glucose (FPG) (in normal FFM group, β=0.019, 95% CI 0.012 to 0.026; in high FFM group, β=0.030, 95% CI 0.005 to 0.054). FFMI was negatively associated with TC only in the normal fat group (β=-0.047, 95% CI -0.069 to -0.034) in boys. However, in girls, FMI was not significantly associated with TC and was positively associated with FPG only in the normal FFM group (β=0.033, 95% CI 0.024 to 0.041), and FFMI was negatively correlated with TC (in normal fat group, β=-0.058, 95% CI -0.079 to -0.038; in high fat group, β=-0.049, 95% CI -0.084 to -0.015). Normal FFM-high fat (OR=2.065, 95% CI 1.379 to 3.091) and increased visceral fat region (OR=1.357, 95% CI 1.195 to 1.540) were risk factors for high TC in boys but not in girls.

conclusionsBody composition was significantly associated with cardiometabolic risk factors, and fat stored in different regions has differential influences on cardiometabolic indicators. There were sex differences in the relationships between body composition and cardiometabolic indicators. The findings suggest that body composition is more strongly correlated with cardiometabolic indicators in boys than in girls. Prevention of obesity and cardiometabolic abnormalities may be more important in boys.

Indexed as

Body CompositionCardiovascular DiseasesAdolescentBlood GlucoseBlood PressureBody Mass IndexCardiometabolic Risk FactorsChildChinaCross-Sectional StudiesEast Asian PeopleElectric ImpedanceFemaleHumansLipidsMaleBlood GlucoseLipidsEpidemiologyObesityOther metabolic, e.g. iron, porphyria

Identifiers

PMID40345688
PMCPMC12067849

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